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Large-Scale Color Aerial Photography as a Tool in Sampling for Mortality Rates (Classic Reprint) - Rilegato

 
9780364786437: Large-Scale Color Aerial Photography as a Tool in Sampling for Mortality Rates (Classic Reprint)

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Excerpt from Large-Scale Color Aerial Photography as a Tool in Sampling for Mortality Rates

Mortality rates, diameter increment rates, and height increment rates are the key components of all yield predictions. Mortality rates are the weakest of the three components. Information on diameter and height increment rates is readily available from silvicultural research plots where scientists have studied growth under a wide array of environmental conditions and management strategies. In addition, in most forest survey or management planning inventories, information on current diameter and height increment rates is collected. Where such data are not readily avail able, diameter and height increment can be ob served ln a single visit to the plot. Annual rings and nodal scars provide the time scale that makes these measurements possible on many species growing in temperate forests. There is no com parable time scale for easily and accurately post dating mortality. Thus, data describing the occur rence of mortality is more difficult to obtain.

Silvicultural research plots on which individual trees have been measured for many years provide a potential source of data for estimating relation ships between stand and tree characteristics and mortality rates. However, use of such data is severely weakened by the common practice of deleting plots containing heavier than average mortality from the experiment. Further, such data are not available for all species and localities and do not provide measures of current levels of mortality.

Many mortality surveys estimate the amount of dead timber in a population by counting dead trees, measuring the volume of dead trees, or measuring the number of acres that contain a substantial number of dead trees. Such informa tion is of little value in predicting future mortality.

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